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Quantitative spinal cord MRI and sexual dysfunction in multiple sclerosis

BACKGROUND: Sexual dysfunction (SD) is frequently reported in multiple sclerosis (MS) and is likely related to MS-related damage to the spinal cord (SC). OBJECTIVE: To assess associations between SD and quantitative MRI measures in people with MS (pwMS). METHODS: This pilot study included 17 pwMS wi...

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Autores principales: Seyman, Estelle, Kim, David, Bharatha, Aditya, Casserly, Courtney, Krysko, Kristen, Chantal, Roy-Hewitson, Alcaide-Leon, Paula, Suthiphosuwan, Suradech, Oh, Jiwon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585573/
https://www.ncbi.nlm.nih.gov/pubmed/36277232
http://dx.doi.org/10.1177/20552173221132170
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author Seyman, Estelle
Kim, David
Bharatha, Aditya
Casserly, Courtney
Krysko, Kristen
Chantal, Roy-Hewitson
Alcaide-Leon, Paula
Suthiphosuwan, Suradech
Oh, Jiwon
author_facet Seyman, Estelle
Kim, David
Bharatha, Aditya
Casserly, Courtney
Krysko, Kristen
Chantal, Roy-Hewitson
Alcaide-Leon, Paula
Suthiphosuwan, Suradech
Oh, Jiwon
author_sort Seyman, Estelle
collection PubMed
description BACKGROUND: Sexual dysfunction (SD) is frequently reported in multiple sclerosis (MS) and is likely related to MS-related damage to the spinal cord (SC). OBJECTIVE: To assess associations between SD and quantitative MRI measures in people with MS (pwMS). METHODS: This pilot study included 17 pwMS with SD who completed questionnaires assessing SD, mood, and fatigue. All participants underwent brain, cervical, and thoracic SC-MRI at 3T. Quantitative brain and SC-MRI measures, including brain/SC atrophy, SC lesion count, diffusion-tensor imaging (DTI) indices (fractional anisotropy [FA], mean, perpendicular, parallel diffusivity [MD, λ(⊥), λ(||)]) and magnetization-transfer ratio (MTR) were obtained. Associations between quantitative MRI measures and SD were assessed while controlling for the extent of mood and fatigue symptomatology. RESULTS: Subjects were a mean age of 46.9 years and 29% female. All subjects had self-reported SD (MSISQ-19 = 40.7, SQoL: 55.9) and 65% had a concurrent psychiatric diagnosis. When correlations between SD severity were assessed with individual brain and SC-MRI measures while controlling for psychiatric symptomatology, no associations were found. The only variables showing independent associations with SD were anxiety (p = 0.03), depression (p = 0.05), and fatigue (p = 0.04). CONCLUSION: We found no correlations between quantitative MRI measures in the brain and SC and severity of SD in pwMS, but psychiatric symptomatology and fatigue severity demonstrated relationships with SD. The multifactorial nature of SD in pwMS mandates a multidisciplinary approach.
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spelling pubmed-95855732022-10-22 Quantitative spinal cord MRI and sexual dysfunction in multiple sclerosis Seyman, Estelle Kim, David Bharatha, Aditya Casserly, Courtney Krysko, Kristen Chantal, Roy-Hewitson Alcaide-Leon, Paula Suthiphosuwan, Suradech Oh, Jiwon Mult Scler J Exp Transl Clin Original Research Article BACKGROUND: Sexual dysfunction (SD) is frequently reported in multiple sclerosis (MS) and is likely related to MS-related damage to the spinal cord (SC). OBJECTIVE: To assess associations between SD and quantitative MRI measures in people with MS (pwMS). METHODS: This pilot study included 17 pwMS with SD who completed questionnaires assessing SD, mood, and fatigue. All participants underwent brain, cervical, and thoracic SC-MRI at 3T. Quantitative brain and SC-MRI measures, including brain/SC atrophy, SC lesion count, diffusion-tensor imaging (DTI) indices (fractional anisotropy [FA], mean, perpendicular, parallel diffusivity [MD, λ(⊥), λ(||)]) and magnetization-transfer ratio (MTR) were obtained. Associations between quantitative MRI measures and SD were assessed while controlling for the extent of mood and fatigue symptomatology. RESULTS: Subjects were a mean age of 46.9 years and 29% female. All subjects had self-reported SD (MSISQ-19 = 40.7, SQoL: 55.9) and 65% had a concurrent psychiatric diagnosis. When correlations between SD severity were assessed with individual brain and SC-MRI measures while controlling for psychiatric symptomatology, no associations were found. The only variables showing independent associations with SD were anxiety (p = 0.03), depression (p = 0.05), and fatigue (p = 0.04). CONCLUSION: We found no correlations between quantitative MRI measures in the brain and SC and severity of SD in pwMS, but psychiatric symptomatology and fatigue severity demonstrated relationships with SD. The multifactorial nature of SD in pwMS mandates a multidisciplinary approach. SAGE Publications 2022-10-20 /pmc/articles/PMC9585573/ /pubmed/36277232 http://dx.doi.org/10.1177/20552173221132170 Text en © The Author(s), 2022 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research Article
Seyman, Estelle
Kim, David
Bharatha, Aditya
Casserly, Courtney
Krysko, Kristen
Chantal, Roy-Hewitson
Alcaide-Leon, Paula
Suthiphosuwan, Suradech
Oh, Jiwon
Quantitative spinal cord MRI and sexual dysfunction in multiple sclerosis
title Quantitative spinal cord MRI and sexual dysfunction in multiple sclerosis
title_full Quantitative spinal cord MRI and sexual dysfunction in multiple sclerosis
title_fullStr Quantitative spinal cord MRI and sexual dysfunction in multiple sclerosis
title_full_unstemmed Quantitative spinal cord MRI and sexual dysfunction in multiple sclerosis
title_short Quantitative spinal cord MRI and sexual dysfunction in multiple sclerosis
title_sort quantitative spinal cord mri and sexual dysfunction in multiple sclerosis
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585573/
https://www.ncbi.nlm.nih.gov/pubmed/36277232
http://dx.doi.org/10.1177/20552173221132170
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